tensorflow:: ops:: ApplyProximalGradientDescent

#include <training_ops.h>

Update '*var' as FOBOS algorithm with fixed learning rate.

Summary

prox_v = var - alpha * delta var = sign(prox_v)/(1+alpha*l2) * max{|prox_v|-alpha*l1,0}

Args:

• scope: A Scope object
• var: Should be from a Variable().
• alpha: Scaling factor. Must be a scalar.
• l1: L1 regularization. Must be a scalar.
• l2: L2 regularization. Must be a scalar.
• delta: The change.

Optional attributes (see Attrs ):

• use_locking: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.

Returns:

• Output : Same as "var".

Constructors and Destructors
ApplyProximalGradientDescent (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input alpha, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input delta)
ApplyProximalGradientDescent (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input alpha, :: tensorflow::Input l1, :: tensorflow::Input l2, :: tensorflow::Input delta, const ApplyProximalGradientDescent::Attrs & attrs)

Public attributes
operation	Operation
out	:: tensorflow::Output

Public functions
node () const	::tensorflow::Node *
operator::tensorflow::Input () const
operator::tensorflow::Output () const

Public static functions
UseLocking (bool x)	Attrs

Structs
tensorflow:: ops:: ApplyProximalGradientDescent:: Attrs	Optional attribute setters for ApplyProximalGradientDescent .

Public attributes

operation

Operation operation

out

::tensorflow::Output out

Public functions

ApplyProximalGradientDescent

 ApplyProximalGradientDescent(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input alpha,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input delta
)

ApplyProximalGradientDescent

 ApplyProximalGradientDescent(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input alpha,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input delta,
  const ApplyProximalGradientDescent::Attrs & attrs
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

Public static functions

UseLocking

Attrs UseLocking(
  bool x
)